Software Development Engineer, Customer Engagement Technology

Amazon Development Centre Canada ULC; Vancouver; On-site; CAD 90,000 - 130,000; Full time

Job summary

A leading technology company is looking for a Software Engineer to join its Data and AI team in Vancouver. The role involves designing data infrastructure, implementing machine learning platform architecture, and ensuring compliance with data governance. Successful candidates will have a strong background in software development, system design, and a passion for solving complex technical challenges.

Qualifications

• 3+ years of professional software development experience.
• 2+ years of design/architecture experience.
• Experience with at least one programming language.

Responsibilities

• Design and implement enterprise-scale data infrastructure.
• Architect ML platform infrastructure.
• Develop data governance frameworks.

Skills

Software Development

System Design

Machine Learning

Data Governance

Collaboration

Education

Bachelor's degree in computer science or equivalent

Job description

As a Software Engineer on the Data and AI team, you will design and build robust, secure data infrastructure systems. You'll architect for real-time data processing needs, implement secure storage solutions, and develop privacy-compliant data access layers. Additionally, you'll build infrastructure that supports the complete lifecycle of Artificial Intelligence (AI) models - from development to production deployment. You’ll work with cross-functional teams (e.g., scientists, product managers, data engineers) to create enterprise-scale data processing systems that handle high-volume transactions, implement comprehensive data governance frameworks, and build scalable data products that power critical business capabilities.

If you enjoy solving complex technical challenges in high-scale environments, working in a collaborative and dynamic team, and want to make a lasting impact on Amazon Customer Service worldwide, this is your opportunity. Come join us on this exciting journey!

Key job responsibilities

Design and implement enterprise-scale data infrastructure and storage solutions that ensure optimal performance and reliability.

Architect and build Machine Learning (ML) platform infrastructure that supports the complete model lifecycle, from training environments and validation frameworks to production deployment and monitoring systems.

Develop and maintain robust data governance frameworks, implementing security controls, authentication mechanisms, and compliant data access patterns that protect sensitive information.

Drive technical architecture decisions and system design, focusing on scalability, reliability, and performance of distributed services while ensuring alignment with business requirements.

Own end-to-end delivery of technical solutions, including design, implementation, and verification of components, using standard software engineering methodologies and best practices.

Collaborate with cross-functional teams, including Product Managers, Applied Scientists, and Data Engineers, to understand requirements, conduct design reviews, and ensure successful delivery of solutions while maintaining high development standards.

A day in the life

A typical day as a Software Development Engineer involves architecting and building robust data and ML infrastructure solutions that power critical AI initiatives. Your morning might start with technical design discussions, collaborating with Applied Scientists to understand infrastructure needs for new AI models, or working with Product Managers to plan data product features.

Throughout the day, you'll write and review code for data processing systems, while monitoring and optimizing existing solutions for performance and reliability. You'll often find yourself diving deep into production issues, implementing solutions that enhance system stability, and building new capabilities into our data and ML platforms. A significant portion of your time is spent implementing and improving monitoring systems that ensure our data infrastructure operates efficiently and securely.

Cross-team collaboration is key, as you work closely with security teams to maintain data compliance requirements and consult with Applied Scientists to optimize model deployment workflows. As a senior member of the team, you'll also mentor junior engineers, sharing your expertise in system design and best practices.

By day's end, you'll have typically pushed forward key infrastructure initiatives, solved complex technical challenges, and improved the reliability and efficiency of our data systems.

If you are not sure that every qualification on the list above describes you exactly, we'd still love to hear from you! At Amazon, we value people with unique backgrounds, experiences, and skillsets. If you’re passionate about this role and want to make an impact on a global scale, please apply!

About the team

The Data and Artificial Intelligence (AI) team is a new function within Customer Engagement Technology. We own the end-to-end process of defining, building, implementing, and monitoring a comprehensive data strategy. We also develop and apply Generative Artificial Intelligence (GenAI), Computer Vision, ML, Ontology, and Natural Language Processing (NLP) to customer service associate experiences and foundational technologies.

BASIC QUALIFICATIONS

• 3+ years of non-internship professional software development experience
• 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience
• Experience programming with at least one software programming language

PREFERRED QUALIFICATIONS

• 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience
• Bachelor's degree in computer science or equivalent

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers.

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